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A comparative review of plausible hole filling strategies in the context of scene depth image completion #13

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lucasmmassa opened this issue Apr 24, 2022 · 2 comments
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abstract image paper with comprehensive image journal Journal Paper

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@lucasmmassa
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https://dro.dur.ac.uk/24093/1/24093.pdf

@lucasmmassa lucasmmassa added the journal Journal Paper label Apr 24, 2022
@lucasmmassa lucasmmassa added this to Background Search in Digital Image Processing Project Apr 24, 2022
@jhonnye0
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@jhonnye0 jhonnye0 added the image paper with comprehensive image label Apr 24, 2022
@jhonnye0
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In many downstream applications, an incomplete depth scene is of limited value, requiring many special cases for subsequent utilization, and thus techniques are required to “fill the holes” that exist in terms of both missing depth and color scene information. An analogous problem exists within the scope of scene filling post object removal in the same context. Although considerable research has resulted in notable progress in the synthetic expansion or reconstruction of missing color scene information in both statistical (texture synthesis) and structural (image completion) forms, work on the plausible completion of missing scene depth is contrastingly limited. This survey aims to provide a state of the art overview within this growing field of depth synthesis work whilst noting related solutions in the space of traditional texture synthesis and color image completion for hole filling. To these ends, we concentrate on the plausible completion of both underlying depth structure and relief texture to provide both greater understanding and future development in the area.

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abstract image paper with comprehensive image journal Journal Paper
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